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核形态计量学在唾液腺肿瘤诊断中的作用。

Role of nuclear morphometry in diagnosis of salivary gland neoplasms.

机构信息

Department of Pathology and laboratory Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, India.

Department of Otorhinolaryngology, All India Institute of Medical Sciences (AIIMS), Bhopal, India.

出版信息

Diagn Cytopathol. 2020 Dec;48(12):1181-1193. doi: 10.1002/dc.24535. Epub 2020 Jul 7.

Abstract

BACKGROUND

Fine needle aspiration cytology is an important diagnostic tool in salivary gland cytopathology. However, cytology of salivary gland neoplasms shows diversity with morphological overlap, heterogeneity and subjective variability, posing diagnostic challenge. Nuclear cytomorphometric image analysis turns the subjective criteria into quantitative parameters, which may aid not only in differentiating between benign and malignant tumours but also can aid in categorising challenging cases with morphological overlap.

METHODS

A retrospective analysis of Papanicolaou stained fine needle aspirate smears from 50 patients with salivary gland neoplasms, with available follow-up histopathology, was performed. The aspirates were categorised in to three neoplastic categories of Milan system for reporting salivary gland cytology (MSRSGC) that is benign neoplasm, salivary gland neoplasm with uncertain malignant potential, and malignant. The smears were subjected to cytomorphometric image analysis using Image Pro Software (version 10). Each nucleus was analysed for 13 parameters including aspect ratio, intensity, diameter, perimeter, roundness, area, Feret diameter, circularity, radii, Fournier description and chromatin texture characteristics such as margination, heterogeneity and clumpiness. The data obtained was compared through relevant statistical methods.

RESULTS

The comparative morphometric data obtained for parameters using ANOVA, for the three categories showed statistically significant P values (<0.001). The post hoc test (Games-Howel) test also showed significant P values (<.001).

CONCLUSION

Cytomorphometric image analysis is an important tool in diagnosis of salivary gland neoplasms and can improve the diagnostic accuracy for better treatment and improved prognosis. However, more studies with larger sample size may be needed in future for further affirming its role.

摘要

背景

细针吸取细胞学是唾液腺细胞学诊断中的重要工具。然而,唾液腺肿瘤的细胞学表现具有多样性,存在形态学重叠、异质性和主观性变化,这给诊断带来了挑战。核细胞形态计量图像分析将主观标准转化为定量参数,不仅有助于区分良恶性肿瘤,还可以帮助分类具有形态学重叠的具有挑战性的病例。

方法

对 50 例有唾液腺肿瘤的细针吸取细胞学涂片进行回顾性分析,这些涂片都有随访的组织病理学结果。根据米兰系统报告唾液腺细胞学(MSRSGC)对这些肿瘤进行分类,分为良性肿瘤、有恶性潜能的唾液腺肿瘤和恶性肿瘤。使用 Image Pro 软件(版本 10)对涂片进行细胞形态计量图像分析。对每个细胞核分析 13 个参数,包括长宽比、强度、直径、周长、圆度、面积、Feret 直径、圆形度、半径、Fournier 描述以及染色质纹理特征,如边缘化、异质性和团块。通过相关统计方法比较获得的数据。

结果

使用 ANOVA 对三个类别进行的比较形态计量数据显示,参数的 P 值具有统计学意义(<0.001)。事后检验(Games-Howel)也显示了显著的 P 值(<.001)。

结论

细胞形态计量图像分析是诊断唾液腺肿瘤的重要工具,可以提高诊断准确性,从而改善治疗效果和预后。然而,未来可能需要更多的大样本量研究来进一步证实其作用。

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